학술논문

Accelerating Image-Sensor-Based Deep Learning Applications
Document Type
Periodical
Source
IEEE Micro Micro, IEEE. 39(5):26-35 Jan, 2019
Subject
Computing and Processing
Imaging
Computational modeling
Neural networks
Image sensors
Microsoft Windows
Image coding
Bandwidth
Machine learning
Deep learning
neural networks
deep learning
differential convolution
computational imaging
accelerator
Language
ISSN
0272-1732
1937-4143
Abstract
We review two inference accelerators that exploit value properties in deep neural networks: 1) Diffy that targets spatially correlated activations in computational imaging DNNs, and 2) Tactical that targets sparse neural networks using a low-overhead hardware/software weight-skipping front-end. Then we combine both into Di-Tactical to boost benefits for both scene understanding workloads and computational imaging tasks.